1160 search results - page 13 / 232 » Dynamic Programming Algorithm for Training Functional Networ... |
CIMCA
2005
IEEE
14 years 2 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
NECO
2007
13 years 8 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
IJON
2006
13 years 8 months ago
2006
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
PERCOM
2006
ACM
14 years 8 months ago
2006
ACM
A recent flooding algorithm [1] guaranteed correctness for networks with dynamic edges and fixed nodes. The algorithm provided a partial answer to the highly dynamic network (HDN)...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...